Forecasting the Diffusion of an Innovation Prior to Launch
Forecasting the Diffusion of an Innovation Prior to Launch
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Quick Facts | |
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Report location: | source |
Language: | English |
Authors: | Gabler, Sonke Albers Institute Of Innovation Research, Christianâalbrechtsâuniversity At Kiel |
Time horizon: | 2004 |
Geographic focus: | Global |
Methods
The research method involves analyzing the diffusion of innovations before their launch, focusing on the Bass model and using descriptors like peak sales period and sales percentage to predict diffusion. The study compares different forecasting methods to determine the most accurate approach.
(Generated with the help of GPT-4)
Key Insights
Companies face a dilemma when introducing new products, needing to forecast the market's response. The Bass model is commonly used to predict the diffusion of innovations, focusing on innovators and imitators. Different methods, such as weighted averages and meta-analyses, are explored to forecast diffusion accurately.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: 2000s time horizon | 2004 time horizon | English publication language | Global geographic scope | diffusion processes | forecasting | futures | germany | inference method | meta-analytical innovation | predictive validity | products